abstract: A new method for generating artificial fingerprints is presented. Due to their uniqueness and durability, fingerprints are invaluable tools for identification for law enforcement and other purposes. Large databases of varied, realistic artificial fingerprints are needed to aid in the development and evaluation of automated systems for criminal or biometric identification. Further, an effective method for simulating fingerprints may provide insight into the biological processes underlying print formation. However, previous attempts at simulating prints have been unsatisfactory. We approach the problem of creating artificial prints through a pattern formation model. We demonstrate how it is possible to generate distinctive patterns that strongly resemble real fingerprints via a system of partial differential equations with a suitable domain and initial conditions. / Dissertation/Thesis / M.A. Mathematics 2013
| Identifer | oai:union.ndltd.org:asu.edu/item:17867 |
| Date | January 2013 |
| Contributors | Coltin, Kevin Curosh (Author), Armbruster, Hans D (Advisor), Platte, Rodrigo B (Committee member), Welfert, Bruno D (Committee member), Arizona State University (Publisher) |
| Source Sets | Arizona State University |
| Language | English |
| Detected Language | English |
| Type | Masters Thesis |
| Format | 42 pages |
| Rights | http://rightsstatements.org/vocab/InC/1.0/, All Rights Reserved |
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